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Um ein zertifizierter professioneller Witzer-Architekt zu werden, müssen die Kandidaten eine Prüfung bestehen, die aus 50 Fragen der Multiple-Choice- und Mehrfachauswahl-Fragen besteht, die innerhalb von zwei Stunden abgeschlossen werden müssen. Die Prüfung wurde entwickelt, um die Fähigkeit der Kandidaten zu testen, eine Cloud -Lösung -Architektur zu entwerfen und zu planen, die GCP -Infrastruktur zu verwalten und bereitzustellen und technische und geschäftliche Prozesse zu optimieren.

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Wir sind der Schnellste, der Prüfungsfragen und Antworten von Google Professional-Cloud-Architect Prüfung erhält. Unser ZertFragen bietet Ihnen die Testfragen und Antworten von Google Professional-Cloud-Architect Zertifizierungsprüfung, die von den IT-Experten durch Experimente und Praxis erhalten werden und über IT-Zertifizierungserfahrungen über 10 Jahre verfügt. ZertFragen verspricht, dass Sie das Google Professional-Cloud-Architect Zertifikat schneller und leichter erhalten, als Sie durch die anderen Webseiten.

Google Professional-Cloud-Architect (Google Certified Professional-Cloud Architect (GCP)) Zertifizierungsprüfung ist so konzipiert Cloud Platform (GCP) -Technologien. Diese Zertifizierung ist ideal für Cloud -Architekten, Ingenieure, Entwickler und IT -Fachkräfte, die ihre Fähigkeit demonstrieren möchten, Cloud -Lösungen mit GCP zu entwerfen und bereitzustellen.

Google Certified Professional - Cloud Architect (GCP) Professional-Cloud-Architect Prüfungsfragen mit Lösungen (Q269-Q274):

269. Frage
You want to optimize the performance of an accurate, real-time, weather-charting application. The data comes from 50,000 sensors sending 10 readings a second, in the format of a timestamp and sensor reading. Where should you store the data?

A. Google Cloud Storage
B. Google Cloud SQL
C. Google Cloud Bigtable
D. Google BigQuery

Antwort: C

Begründung:
Google Cloud Bigtable is a scalable, fully-managed NoSQL wide-column database that is suitable for both real-time access and analytics workloads.
Good for:
Low-latency read/write access
High-throughput analytics
Native time series support
Common workloads:
IoT, finance, adtech
Personalization, recommendations
Monitoring
Geospatial datasets
Graphs
References: https://cloud.google.com/storage-options/
Reference:
It is time-series data, So Big Table.
https://cloud.google.com/bigtable/docs/schema-design-time-series

270. Frage
Your product team is building a critical, customer-facing application on Google Cloud. The development team wants to use Spanner for their database to take advantage of its horizontal scalability and low operational overhead However, the FinOps team is concerned about the direct monthly cost of Spanner and proposed using a self-managed PostgreSQL database on Compute Engine VMs instead. You need to resolve this conflict and ensure the project moves forward with an architecturally sound database choice that balances technical requirements with financial constraints. What should you do?

A. Develop a total cost of ownership (TCO) analysis that includes operational overhead, and present it in a workshop to facilitate a decision.
B. Provide the development team with a reference architecture for deploying a highly available PostgreSQL cluster on a regional managed instance group (MIG).
C. Cite the reliability and performance optimization pillars of the Google Cloud Well-Architected Framework to formally justify the use of Spanner.
D. Suggest using Cloud SQL for PostgreSQL as a compromise to get a managed service at a lower cost than Spanner.

Antwort: A

Begründung:
This is a stakeholder and trade-off decision, not just a pure tech choice. The Google- recommended approach is to perform a total cost of ownership (TCO) analysis that includes not only direct service costs, but also operational overhead, maintenance, reliability engineering, and scaling complexity of a self-managed PostgreSQL on Compute Engine vs. managed options like Spanner. Presenting this TCO in a workshop with development and FinOps enables a data- driven, shared decision that balances technical requirements (scalability, reliability) with financial constraints, ensuring an architecturally sound and agreed-upon database choice.

271. Frage
You have deployed an application on Anthos clusters (formerly Anthos GKE). According to the SRE practices at your company you need to be alerted if the request latency is above a certain threshold for a specified amount of time. What should you do?

A. Use Cloud Profiler to follow up the request latency. Create a custom metric in Cloud Monitoring based on the results of Cloud Profiler, and create an Alerting Policy in case this metric exceeds the threshold
B. Install Anthos Service Mesh on your cluster. Use the Google Cloud Console to define a Service Level Objective (SLO)
C. Enable the Cloud Trace API on your project and use Cloud Monitoring Alerts to send an alert based on the Cloud Trace metrics
D. Configure Anthos Config Management on your cluster and create a yaml file that defines the SLO and alerting policy you want to deploy in your cluster

Antwort: B

Begründung:
Explanation
https://cloud.google.com/service-mesh/docs/overview
https://cloud.google.com/service-mesh/docs/observability/slo-overview

272. Frage
For this question, refer to the Cymbal Retail case study Cymbal plans to migrate their existing on-premises systems to Google Cloud and implement Al-powered virtual agents to handle customer interactions You need to provision the compute resources that can scale for the Al-powered virtual agents What should you do?

A. Use Cloud SQL to store the customer data and product catalog.
B. Deploy a Google Kubernetes Engine (GKE) cluster with autoscaling enabled
C. Configure Cloud Build to call Al Applications (formerly Vertex Al Agent Builder).
D. Create a single, large Compute Engine VM instance with a high CPU allocation.

Antwort: B

Begründung:
According to the Google Cloud Architecture Framework for modernizing applications, Google Kubernetes Engine (GKE) is the most suitable compute platform for services requiring high scalability and availability. Cymbal's AI-powered virtual agents must handle " anticipated growth " and fluctuating customer demands from their web and mobile apps. GKE's Horizontal Pod Autoscaler (HPA) and Cluster Autoscaler ensure that the compute resources expand automatically during peak shopping hours and shrink during low- traffic periods to " minimize costs. " GKE is explicitly mentioned in Cymbal's " Existing Technical Environment " as their preferred platform for containerized applications. Leveraging GKE for the virtual agents allows the development team to use a microservices approach, isolating the agent ' s logic from other catalog enrichment tasks. Option D (Single large VM) is a " legacy " approach that creates a single point of failure and does not scale efficiently. Option A (Cloud SQL) is a database service, not a compute resource for running agent logic. While Vertex AI Agent Builder (Option B) is the tool used to create the agents, the underlying compute that hosts the integrated application and handles the traffic orchestration is best served by a managed Kubernetes environment like GKE, which aligns with their requirement for " Scalability and Performance. "

273. Frage
Your web application must comply with the requirements of the European Union's General Data Protection Regulation (GDPR). You are responsible for the technical architecture of your web application. What should you do?

A. Ensure that Cloud Security Scanner is part of your test planning strategy in order to pick up any compliance gaps.
B. Define a design for the security of data in your web application that meets GDPR requirements.
C. Ensure that your web application only uses native features and services of Google Cloud Platform, because Google already has various certifications and provides "pass-on" compliance when you use native features.
D. Enable the relevant GDPR compliance setting within the GCPConsole for each of the services in use within your application.

Antwort: B

Begründung:
Explanation/Reference: https://www.mobiloud.com/blog/gdpr-compliant-mobile-app/

274. Frage
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